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.ipynb_checkpoints/requirements-checkpoint.txt

@@ -0,0 +1,7 @@
+langchain crewai 
+wolframalpha duckduckgo-search
+'crewai[tools]'
+beautifulsoup4 requests lxml
+langchain-community
+huggingface_hub
+google-api-python-client google-auth-httplib2 google-auth-oauthlib

.ipynb_checkpoints/test_gradio-checkpoint.py

@@ -0,0 +1,24 @@
+# import gradio as gr
+
+# def greet(name, intensity):
+#     return "Hello, " + name + "!" * int(intensity)
+
+# def llm_inference(next):
+    
+    
+# demo = gr.Interface(
+#     fn=greet,
+#     inputs=["text"],
+#     outputs=["text"],
+# )
+
+# demo.launch(share=True)
+
+import random
+
+def random_response(message, history):
+    return random.choice(["Yes", "No"])
+
+import gradio as gr
+
+gr.ChatInterface(random_response).launch()

requirements.txt

@@ -0,0 +1,7 @@
+langchain crewai 
+wolframalpha duckduckgo-search
+'crewai[tools]'
+beautifulsoup4 requests lxml
+langchain-community
+huggingface_hub
+google-api-python-client google-auth-httplib2 google-auth-oauthlib

test_gradio.py

@@ -1,12 +1,24 @@
-import gradio as gr
+# import gradio as gr
+
+# def greet(name, intensity):
+#     return "Hello, " + name + "!" * int(intensity)
+
+# def llm_inference(next):
+    
+    
+# demo = gr.Interface(
+#     fn=greet,
+#     inputs=["text"],
+#     outputs=["text"],
+# )
 
-def greet(name, intensity):
-    return "Hello, " + name + "!" * int(intensity)
+# demo.launch(share=True)
 
-demo = gr.Interface(
-    fn=greet,
-    inputs=["text", "slider"],
-    outputs=["text"],
-)
+import random
+
+def random_response(message, history):
+    return random.choice(["Yes", "No"])
+
+import gradio as gr
 
-demo.launch(share=True)
+gr.ChatInterface(random_response).launch()