Update app.py

app.py

@@ -11,9 +11,6 @@ import numpy as np
 import docx
 from groq import Groq
 import PyPDF2
-from groq import Groq
-from groq.error import GroqError
-
 
 # --- Document Loaders ---
 def extract_text_from_pdf(pdf_path):
@@ -52,27 +49,56 @@ def retrieve_chunks(question, index, embed_model, text_chunks, k=3):
     D, I = index.search(np.array([question_embedding]), k)
     return [text_chunks[i] for i in I[0]]
 
-def generate_answer_with_groq(question, context, retries=3, delay=2):
-    prompt = f"Based on the following context, answer the question: '{question}'\n\nContext:\n{context}"
-    groq_client = Groq(api_key=os.environ["GROQ_API_KEY"])
+#def generate_answer_with_groq(question, context, retries=3, delay=2):
+#    prompt = f"Based on the following context, answer the question: '{question}'\n\nContext:\n{context}"
+#    groq_client = Groq(api_key=os.environ["GROQ_API_KEY"])
     
+#    for attempt in range(retries):
+#        try:
+#            response = groq_client.chat.completions.create(
+#                model="llama3-8b-8192",
+#                messages=[
+#                    {"role": "system", "content": "You are an AI Assistant for Small Businesses."},
+#                    {"role": "user", "content": prompt},
+#                ]
+#            )
+#            return response.choices[0].message.content
+#        except GroqError as e:
+#            if "503" in str(e) and attempt < retries - 1:
+#                time.sleep(delay)
+#                continue
+#            else:
+#                return f"⚠️ Groq API Error: {str(e)}"
+
+#-----------------------------------------
+def generate_answer_with_groq(question, context, retries=3, delay=2):
+    url = "https://api.groq.com/openai/v1/chat/completions"
+    api_key=os.environ["GROQ_API_KEY"]
+    headers = {
+        "Authorization": f"Bearer {api_key}",
+        "Content-Type": "application/json",
+    }
+    payload = {
+        "model": "llama3-8b-8192",
+        "messages": [
+            {"role": "system", "content": "You are an AI Assistant for Small Businesses."},
+            {"role": "user", "content": prompt},
+        ],
+        "temperature": 0.5,
+        "max_tokens": 300,
+    }
     for attempt in range(retries):
         try:
-            response = groq_client.chat.completions.create(
-                model="llama3-8b-8192",
-                messages=[
-                    {"role": "system", "content": "You are an AI Assistant for Small Businesses."},
-                    {"role": "user", "content": prompt},
-                ]
-            )
-            return response.choices[0].message.content
-        except GroqError as e:
-            if "503" in str(e) and attempt < retries - 1:
-                time.sleep(delay)
+    response = requests.post(url, headers=headers, json=payload)
+    result = response.json()
+    return result['choices'][0]['message']['content'].strip()
+    except GroqError as e:
+    if "503" in str(e) and attempt < retries - 1:
+        time.sleep(delay)
                 continue
-            else:
-                return f"⚠️ Groq API Error: {str(e)}"
-
+        else:
+        return f"⚠️ Groq API Error: {str(e)}"
+#-----------------------------------------
 
 # --- Twilio Chat Handlers ---
 def fetch_latest_incoming_message(account_sid, auth_token, conversation_sid):