Upload app.py

app.py

@@ -67,16 +67,16 @@ def create_conversational_chain(vector_store):
                         #streaming=True, 
                         #callbacks=[StreamingStdOutCallbackHandler()],
                         #model_type="llama", config={'max_new_tokens': 500, 'temperature': 0.01})
-    llm = Replicate(
-        streaming = True,
-        model = "meta/llama-2-70b:a52e56fee2269a78c9279800ec88898cecb6c8f1df22a6483132bea266648f00", 
-        callbacks=[StreamingStdOutCallbackHandler()],
-        input = {"temperature": 0.75, "max_length" :500,"top_p":1})
-    # llm = GooglePalm(
+    # llm = Replicate(
     #     streaming = True,
-    #     model = "models/text-bison-001", # "google/flan-t5-large"
+    #     model = "meta/llama-2-70b:a52e56fee2269a78c9279800ec88898cecb6c8f1df22a6483132bea266648f00", 
     #     callbacks=[StreamingStdOutCallbackHandler()],
-    #     input = {"temperature": 0.7, "max_length" :800,"top_p":1})
+    #     input = {"temperature": 0.75, "max_length" :500,"top_p":1})
+    llm = GooglePalm(
+        streaming = True,
+        model = "models/text-bison-001", # "google/flan-t5-large"
+        callbacks=[StreamingStdOutCallbackHandler()],
+        input = {"temperature": 0.7, "max_length" :800,"top_p":1})
     # llm = AzureOpenAI(
     #     streaming = True,
     #     deployment_name="HCloudChat",