Upload app.py

app.py

@@ -3,34 +3,77 @@ from clarifai_grpc.channel.clarifai_channel import ClarifaiChannel
 from clarifai_grpc.grpc.api import resources_pb2, service_pb2, service_pb2_grpc
 from clarifai_grpc.grpc.api.status import status_code_pb2
 
-# Set your Clarifai credentials and model details
-PAT = 'bfdeb4029ef54d23a2e608b0aa4c00e4'
-USER_ID = 'openai'
+# Set your Clarifai credentials and model details for DALL-E
+PAT_DALLE = 'bfdeb4029ef54d23a2e608b0aa4c00e4'
+USER_ID_DALLE = 'openai'
+APP_ID_DALLE = 'dall-e'
+MODEL_ID_DALLE = 'dall-e-3'
+MODEL_VERSION_ID_DALLE = 'dc9dcb6ee67543cebc0b9a025861b868'
+
+# Set your Clarifai credentials and model details for GPT-4 Turbo
+PAT_GPT4 = 'bfdeb4029ef54d23a2e608b0aa4c00e4'
+USER_ID_GPT4 = 'openai'
+APP_ID_GPT4 = 'chat-completion'
+MODEL_ID_GPT4 = 'gpt-4-turbo'
+MODEL_VERSION_ID_GPT4 = '182136408b4b4002a920fd500839f2c8'
 
 # Streamlit app
-st.title("AI Integration App")
+st.title("Pyresearch AI Integration App")
 
 # Choose model type
-model_type = st.radio("Select Model Type", ["GPT-4 Turbo", "GPT-4 Vision", "DALL-E", "Text-to-Speech"])
+model_type = st.radio("Select Model Type", ["DALL-E", "GPT-4 Turbo"])
 
 # Input text prompt from the user
-raw_text = st.text_input("Enter a text prompt:", 'I love your product very much')
+raw_text = st.text_input("Enter a text prompt:", 'ocr check mistake with image base with python opencv computer vision help out to know people')
 
 # Button to generate result
 if st.button("Generate Result"):
-    if model_type == "GPT-4 Turbo":
+    if model_type == "DALL-E":
+        # Connect to Clarifai API for DALL-E
+        channel_dalle = ClarifaiChannel.get_grpc_channel()
+        stub_dalle = service_pb2_grpc.V2Stub(channel_dalle)
+        metadata_dalle = (('authorization', 'Key ' + PAT_DALLE),)
+        userDataObject_dalle = resources_pb2.UserAppIDSet(user_id=USER_ID_DALLE, app_id=APP_ID_DALLE)
+
+        # Make a request to Clarifai API for DALL-E
+        post_model_outputs_response_dalle = stub_dalle.PostModelOutputs(
+            service_pb2.PostModelOutputsRequest(
+                user_app_id=userDataObject_dalle,
+                model_id=MODEL_ID_DALLE,
+                version_id=MODEL_VERSION_ID_DALLE,
+                inputs=[
+                    resources_pb2.Input(
+                        data=resources_pb2.Data(
+                            text=resources_pb2.Text(
+                                raw=raw_text
+                            )
+                        )
+                    )
+                ]
+            ),
+            metadata=metadata_dalle
+        )
+
+        # Display the generated image if the request is successful
+        if post_model_outputs_response_dalle.status.code != status_code_pb2.SUCCESS:
+            st.error(f"DALL-E API request failed: {post_model_outputs_response_dalle.status.description}")
+        else:
+            output_dalle = post_model_outputs_response_dalle.outputs[0].data.image.base64
+            st.image(output_dalle, caption='Generated Image (DALL-E)', use_column_width=True)
+
+    elif model_type == "GPT-4 Turbo":
         # Connect to Clarifai API for GPT-4 Turbo
-        channel = ClarifaiChannel.get_grpc_channel()
-        stub = service_pb2_grpc.V2Stub(channel)
-        metadata = (('authorization', 'Key ' + PAT),)
-        userDataObject = resources_pb2.UserAppIDSet(user_id=USER_ID, app_id='chat-completion')
-        
+        channel_gpt4 = ClarifaiChannel.get_grpc_channel()
+        stub_gpt4 = service_pb2_grpc.V2Stub(channel_gpt4)
+        metadata_gpt4 = (('authorization', 'Key ' + PAT_GPT4),)
+        userDataObject_gpt4 = resources_pb2.UserAppIDSet(user_id=USER_ID_GPT4, app_id=APP_ID_GPT4)
+
         # Make a request to Clarifai API for GPT-4 Turbo
-        post_model_outputs_response = stub.PostModelOutputs(
+        post_model_outputs_response_gpt4 = stub_gpt4.PostModelOutputs(
             service_pb2.PostModelOutputsRequest(
-                user_app_id=userDataObject,
-                model_id='gpt-4-turbo',
-                version_id='182136408b4b4002a920fd500839f2c8',
+                user_app_id=userDataObject_gpt4,
+                model_id=MODEL_ID_GPT4,
+                version_id=MODEL_VERSION_ID_GPT4,
                 inputs=[
                     resources_pb2.Input(
                         data=resources_pb2.Data(
@@ -41,30 +84,17 @@ if st.button("Generate Result"):
                     )
                 ]
             ),
-            metadata=metadata
+            metadata=metadata_gpt4
         )
-        
+
         # Display the generated result if the request is successful
-        if post_model_outputs_response.status.code != status_code_pb2.SUCCESS:
-            st.error(f"Clarifai API request failed: {post_model_outputs_response.status.description}")
+        if post_model_outputs_response_gpt4.status.code != status_code_pb2.SUCCESS:
+            st.error(f"GPT-4 Turbo API request failed: {post_model_outputs_response_gpt4.status.description}")
         else:
-            output = post_model_outputs_response.outputs[0].data.image.base64
-            st.image(output, caption='Generated Image', use_column_width=True)
+            output_gpt4 = post_model_outputs_response_gpt4.outputs[0].data.image.base64
+            st.image(output_gpt4, caption='Generated Image (GPT-4 Turbo)', use_column_width=True)
+
 
-    elif model_type == "GPT-4 Vision":
-        # Connect to Clarifai API for GPT-4 Vision
-        # Replace the following lines with actual GPT-4 Vision logic
-        st.warning("GPT-4 Vision integration code goes here.")
-        
-    elif model_type == "DALL-E":
-        # Connect to Clarifai API for DALL-E
-        # Replace the following lines with actual DALL-E logic
-        st.warning("DALL-E integration code goes here.")
-        
-    elif model_type == "Text-to-Speech":
-        # Connect to Clarifai API for Text-to-Speech
-        # Replace the following lines with actual Text-to-Speech logic
-        st.warning("Text-to-Speech integration code goes here.")
 
 # Add the beautiful social media icon section
 st.markdown("""