From c6c48345fb7ace43c6bf138cc456e3ce663c195a Mon Sep 17 00:00:00 2001
From: Karmvir <jadejakarmvir12@gmail.com>
Date: Tue, 24 Dec 2024 10:29:50 +0530
Subject: [PATCH] Here completed the issue #93

---
 backend/._s2v_old         | Bin 0 -> 274 bytes
 backend/Generator/main.py |   2 +-
 backend/package-lock.json |   6 ++++++
 backend/script.sh         |  34 +++++++++++++++++++++++++++-------
 backend/server.py         |  12 ++++++------
 5 files changed, 40 insertions(+), 14 deletions(-)
 create mode 100644 backend/._s2v_old
 create mode 100644 backend/package-lock.json

diff --git a/backend/._s2v_old b/backend/._s2v_old
new file mode 100644
index 0000000000000000000000000000000000000000..79bd48257117331677569bae608e89a04214216b
GIT binary patch
literal 274
zcmZQz6=P>$Vqox1Ojhs@R)|o50+1L3ClDI}@dF?R@)?DIG!eitBqRu;46I`dkR6An
z4P-h<+=GFEKRG{FFR`E?Csi*uF*ygK@DGp@V_*<P$Q70*7A5ADWagzZFfwq8p1)UO
k>^!%1?}G5nJ7Nw&G?7Xc>KhnX7+D)YfwgyPcA_-{0Awj6kpKVy

literal 0
HcmV?d00001

diff --git a/backend/Generator/main.py b/backend/Generator/main.py
index 80e4802..85ddb2a 100644
--- a/backend/Generator/main.py
+++ b/backend/Generator/main.py
@@ -379,7 +379,7 @@ def process_file(self, file):
 
 class QuestionGenerator:
     """A transformer-based NLP system for generating reading comprehension-style questions from
-    texts. It can generate full sentence questions, multiple choice questions, or a mix of the
+    texts. It can generate full sentence questions, multiple choice questions                , or a mix of the
     two styles.
 
     To filter out low quality questions, questions are assigned a score and ranked once they have
diff --git a/backend/package-lock.json b/backend/package-lock.json
new file mode 100644
index 0000000..dfb18f1
--- /dev/null
+++ b/backend/package-lock.json
@@ -0,0 +1,6 @@
+{
+  "name": "backend",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {}
+}
diff --git a/backend/script.sh b/backend/script.sh
index 9b54e95..7641d96 100755
--- a/backend/script.sh
+++ b/backend/script.sh
@@ -6,23 +6,43 @@ REPO_DIR="EduAid"
 S2V_ARCHIVE="s2v_reddit_2015_md.tar.gz"
 S2V_DIR="s2v_old"
 
+# Step 1: Set up Python virtual environment
 if [ ! -d "venv" ]; then
-  python3 -m venv venv
+  echo "Creating virtual environment..."
+  python3 -m venv venv || { echo "Failed to create virtual environment"; exit 1; }
 fi
 source venv/bin/activate
 
+# Step 2: Clone repository if it doesn't exist
 if [ ! -d "$REPO_DIR" ]; then
-  git clone $REPO_URL
+  echo "Cloning repository..."
+  git clone $REPO_URL || { echo "Failed to clone repository"; deactivate; exit 1; }
+else
+  echo "Repository already exists. Skipping clone."
 fi
 
+# Step 3: Download Sense2Vec archive if not present
 if [ ! -f "$S2V_ARCHIVE" ]; then
-  wget $S2V_URL -O $S2V_ARCHIVE
+  echo "Downloading Sense2Vec model..."
+  wget $S2V_URL -O $S2V_ARCHIVE || { echo "Failed to download Sense2Vec model"; deactivate; exit 1; }
+else
+  echo "Sense2Vec archive already exists. Skipping download."
 fi
 
+# Step 4: Extract archive to target directory
 if [ ! -d "$REPO_DIR/$S2V_DIR" ]; then
-  mkdir -p $REPO_DIR/$S2V_DIR
-  tar -xzvf $S2V_ARCHIVE -C $REPO_DIR/$S2V_DIR --strip-components=1
+  echo "Extracting Sense2Vec archive..."
+  mkdir -p "$REPO_DIR/$S2V_DIR" &&
+  tar -xzvf $S2V_ARCHIVE -C "$REPO_DIR/$S2V_DIR" --strip-components=1 || {
+    echo "Failed to extract Sense2Vec archive"; 
+    deactivate; 
+    exit 1; 
+  }
+else
+  echo "Sense2Vec directory already exists. Skipping extraction."
 fi
 
-# Deactivate virtual environment after completion
-source deactivate
\ No newline at end of file
+# Deactivate virtual environment
+deactivate
+
+echo "Setup completed successfully."
diff --git a/backend/server.py b/backend/server.py
index f80ec24..e6dfe37 100644
--- a/backend/server.py
+++ b/backend/server.py
@@ -376,14 +376,14 @@ def get_shortq_hard():
 @app.route("/get_mcq_hard", methods=["POST"])
 def get_mcq_hard():
     data = request.get_json()
-    input_text = data.get("input_text", "")
-    use_mediawiki = data.get("use_mediawiki", 0)
-    input_text = process_input_text(input_text,use_mediawiki)
-    input_questions = data.get("input_question", [])
+    input_text = data.get("input_text", "")#Retreiving the input text
+    use_mediawiki = data.get("use_mediawiki", 0)#if we want to use wikipedia or not 
+    input_text = process_input_text(input_text,use_mediawiki) #Parsing it into a function so that it can be modifies before use 
+    input_questions = data.get("input_question", [])# Here it specify the number of questions to be generated 
     output = qg.generate(
         article=input_text, num_questions=input_questions, answer_style="multiple_choice"
-    )
-    return jsonify({"output": output})
+    ) # Output of generated question in the form of dictionary 
+    return jsonify({"output": output}) #Here sending the output to the frontend 
 
 @app.route('/upload', methods=['POST'])
 def upload_file():