forked from ccozzi13/cocktail-scanner
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathcocktail_scanner_app.py
More file actions
165 lines (139 loc) · 8.98 KB
/
cocktail_scanner_app.py
File metadata and controls
165 lines (139 loc) · 8.98 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
#Libraries
import streamlit as st
import pandas as pd
import cocktail_scanner_parameters
import cocktail_scanner_ai
#Application Config
st.set_page_config(
page_title="Cocktail Scanner",
layout="wide",
initial_sidebar_state="expanded"
)
#Application
st.title("Cocktail Scanner")
st.write("Convert cocktail recipe text, images or cell phone snaps to BarAssistant import format.")
st.header("Import Data", divider="blue")
col1, col2, col3 = st.columns(3)
with col1:
st.write("Where did you source this recipe? Select and existing source, or enter a new one.")
sources = sorted(cocktail_scanner_parameters.common_sources)
source_select = st.selectbox("Common sources", sources, index=None, label_visibility="collapsed")
source_raw = st.text_input("Source", " ", key='source_raw', label_visibility="collapsed")
if source_select:
source = source_select
else:
source = source_raw
with col2:
st.write("Upload an image:")
uploaded_file = st.file_uploader(
"Upload an image", accept_multiple_files=False, type=["jpg", "jpeg", "png", "heic"], label_visibility="collapsed"
)
if uploaded_file is not None:
if uploaded_file.type == 'application/octet-stream':
file_bytes = cocktail_scanner_ai.convert_heic_to_png(uploaded_file.getvalue())
file_type = 'image/png'
else:
file_bytes = uploaded_file.getvalue()
file_type = uploaded_file.type
st.session_state.cocktail_image = {"cocktail_image": file_bytes, "image_type": file_type}
#st.write(st.session_state.cocktail_image['image_type'])
with col3:
st.write("Or upload cocktail recipe or simple description:")
@st.dialog("Enter a cocktail recipe", width="large")
def cocktail_text():
cocktail_text_submitted = st.text_area("Cocktail recipe", height=400, label_visibility="visible")
if st.button("Submit",key='cocktail_text_submit'):
st.session_state.cocktail_text = {"submitted_text": cocktail_text_submitted}
st.rerun()
if "cocktail_text" not in st.session_state:
if st.button("Upload cocktail recipe",key='cocktail_text_no_text'):
cocktail_text()
else:
if st.button("Re-upload cocktail recipe",key='cocktail_text_replace_text'):
cocktail_text()
@st.dialog("Enter a cocktail description", width="large")
def cocktail_desc():
cocktail_desc_submitted = st.text_area("Cocktail description", height=400, label_visibility="visible")
if st.button("Submit",key='cocktail_desc_submit'):
st.session_state.cocktail_desc = {"submitted_text": cocktail_desc_submitted}
st.rerun()
if "cocktail_desc" not in st.session_state:
if st.button("Upload cocktail description",key='cocktail_desc_no_text'):
cocktail_desc()
else:
if st.button("Re-upload cocktail description",key='cocktail_desc_replace_text'):
cocktail_desc()
st.header("Review Data", divider="blue")
if "cocktail_text" in st.session_state:
st.write("Submitted text:")
st.code(st.session_state.cocktail_text['submitted_text'], language=None, line_numbers=False, wrap_lines=True, height=250)
elif "cocktail_image" in st.session_state:
st.image(st.session_state.cocktail_image['cocktail_image'], caption="Submitted image")
if "cocktail_desc" in st.session_state:
st.write("Submitted text:")
st.code(st.session_state.cocktail_desc['submitted_text'], language=None, line_numbers=False, wrap_lines=True, height=250)
else:
st.badge("No data submitted yet!", icon=":material/info:", color="blue")
if "cocktail_text" in st.session_state:
#st.write("Submitted prompt:")
st.session_state.prompt = {"prompt": cocktail_scanner_ai.generate_full_text_prompt(cocktail_scanner_parameters.schema_text_prompt,
cocktail_scanner_parameters.additional_prompts,
cocktail_scanner_parameters.json_prompt,
cocktail_scanner_parameters.bar_assistant_schema,
cocktail_scanner_parameters.recipe_prompt,
st.session_state.cocktail_text['submitted_text']+"The source of this recipe was: "+source)}
#st.code(st.session_state.prompt['prompt'], language=None, line_numbers=False, wrap_lines=True, height=250)
elif "cocktail_image" in st.session_state:
#st.write("Submitted prompt:")
st.session_state.prompt = {"prompt": cocktail_scanner_ai.generate_image_prompt(cocktail_scanner_parameters.schema_image_prompt,
cocktail_scanner_parameters.additional_prompts,
cocktail_scanner_parameters.json_prompt,
cocktail_scanner_parameters.bar_assistant_schema+"The source of this recipe was: "+source),
"invent_prompt": cocktail_scanner_ai.generate_image_prompt(
cocktail_scanner_parameters.schema_invent_prompt,
cocktail_scanner_parameters.additional_prompts,
cocktail_scanner_parameters.json_prompt,
cocktail_scanner_parameters.bar_assistant_schema + "The source of this recipe was: " + source)
}
#st.code(st.session_state.prompt['prompt'], language=None, line_numbers=False, wrap_lines=True, height=250)
elif "cocktail_desc" in st.session_state:
#st.write("Submitted prompt:")
st.session_state.prompt = {"prompt": cocktail_scanner_ai.generate_full_text_prompt(cocktail_scanner_parameters.schema_invent_prompt,
cocktail_scanner_parameters.additional_prompts,
cocktail_scanner_parameters.json_prompt,
cocktail_scanner_parameters.bar_assistant_schema,
cocktail_scanner_parameters.invent_prompt,
st.session_state.cocktail_desc['submitted_text']+"The source of this recipe was: "+source)}
#st.code(st.session_state.prompt['prompt'], language=None, line_numbers=False, wrap_lines=True, height=250)
else:
#st.badge("No data submitted yet!", icon=":material/info:", color="blue")
pass
st.header("Model Output", divider="blue")
col_m, buff_m = st.columns([1, 5])
with col_m:
models = sorted(cocktail_scanner_parameters.all_models)
selected_model = st.selectbox("Select a model:", models, label_visibility="visible")
with st.container(height=400, border=False):
if "cocktail_text" in st.session_state:
if st.button("Submit a recipe", key='submit_text_prompt'):
google_key = cocktail_scanner_ai.get_google_api_key('local.ini', 'API', 'google_key')
st.session_state.model_response = {"model_response": cocktail_scanner_ai.get_model_response(google_key, selected_model, st.session_state.prompt['prompt'])}
elif "cocktail_image" in st.session_state:
if st.button("Submit an image recipe", key='submit_image_prompt'):
google_key = cocktail_scanner_ai.get_google_api_key('local.ini', 'API', 'google_key')
st.session_state.model_response = {"model_response": cocktail_scanner_ai.get_model_response_image(google_key, selected_model, st.session_state.prompt['prompt'],st.session_state.cocktail_image['cocktail_image'],st.session_state.cocktail_image['image_type'])}
if st.button("Submit an image description", key='submit_invent_image_prompt'):
google_key = cocktail_scanner_ai.get_google_api_key('local.ini', 'API', 'google_key')
st.session_state.model_response = {"model_response": cocktail_scanner_ai.get_model_response_image(google_key, selected_model, st.session_state.prompt['invent_prompt'],st.session_state.cocktail_image['cocktail_image'],st.session_state.cocktail_image['image_type'])}
elif "cocktail_desc" in st.session_state:
if st.button("Generate a recipe", key='submit_invent_text_prompt'):
google_key = cocktail_scanner_ai.get_google_api_key('local.ini', 'API', 'google_key')
st.session_state.model_response = {"model_response": cocktail_scanner_ai.get_model_response(google_key, selected_model, st.session_state.prompt['prompt'])}
if "model_response" in st.session_state:
st.write("Review and copy this JSON to BarAssistant:")
#st.code(st.session_state.model_response['model_response'], language=None, line_numbers=False, wrap_lines=True, height=250)
st.markdown(st.session_state.model_response['model_response'])
else:
st.badge("No data submitted yet!", icon=":material/info:", color="blue")
#with st.expander("Debugging data"):
#st.code(cocktail_scanner_parameters.bar_assistant_schema, language="css", height=200)