Update app.py

app.py

@@ -1,8 +1,10 @@
-import os, uuid, gradio as gr, openai, pdfplumber, docx, pandas as pd
+import os, uuid, requests, gradio as gr, pdfplumber, docx, pandas as pd
 from PIL import Image
 import whisper
 
-openai.api_key = os.getenv("OPENAI_API_KEY") or "your-openai-key"
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+GROQ_API_URL = "https://api.groq.com/openai/v1/chat/completions"
+MODEL_NAME = "llama3-8b-8192"  # Update if using a different model
 
 def extract_text_from_file(file):
     if file is None: return ""
@@ -34,13 +36,25 @@ def transcribe_audio(audio_path):
 
 def chat_response(history, message):
     try:
+        headers = {
+            "Authorization": f"Bearer {GROQ_API_KEY}",
+            "Content-Type": "application/json"
+        }
         messages = [{"role": "system", "content": "You are Neobot, a helpful assistant."}]
-        for role, content in history: messages.append({"role": role, "content": content})
+        for role, content in history:
+            messages.append({"role": role, "content": content})
         messages.append({"role": "user", "content": message})
-        response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=messages)
-        return response.choices[0].message.content.strip()
+
+        payload = {
+            "model": MODEL_NAME,
+            "messages": messages
+        }
+
+        response = requests.post(GROQ_API_URL, headers=headers, json=payload)
+        reply = response.json()["choices"][0]["message"]["content"]
+        return reply.strip()
     except Exception as e:
-        return f"OpenAI response failed: {e}"
+        return f"Groq response failed: {e}"
 
 def process_input(msg, file, audio, history):
     file_text = extract_text_from_file(file) if file else ""