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app.py

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+import streamlit as st
+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 up the Streamlit app
+st.title("OpenAI Models Integration")
+
+# Model selection
+model_option = st.selectbox("Select Model", ["GPT-4 Turbo", "GPT-4 Vision", "DALL-E API", "Text-to-Speech (TTS)"])
+
+# Common Clarifai credentials
+PAT = 'bfdeb4029ef54d23a2e608b0aa4c00e4'
+USER_ID = 'openai'
+APP_ID = 'chat-completion'
+
+# Function to make API request and display output
+def make_api_request(model_id, model_version_id, raw_text):
+    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=APP_ID)
+
+    post_model_outputs_response = stub.PostModelOutputs(
+        service_pb2.PostModelOutputsRequest(
+            user_app_id=userDataObject,
+            model_id=model_id,
+            version_id=model_version_id,
+            inputs=[
+                resources_pb2.Input(
+                    data=resources_pb2.Data(
+                        text=resources_pb2.Text(
+                            raw=raw_text
+                        )
+                    )
+                )
+            ]
+        ),
+        metadata=metadata
+    )
+
+    if post_model_outputs_response.status.code != status_code_pb2.SUCCESS:
+        st.error(f"Clarifai API request failed: {post_model_outputs_response.status.description}")
+    else:
+        return post_model_outputs_response.outputs[0].data.image.base64
+
+# GPT-4 Turbo
+if model_option == "GPT-4 Turbo":
+    model_id = 'gpt-4-turbo'
+    model_version_id = '182136408b4b4002a920fd500839f2c8'
+    raw_text = st.text_area("Enter text prompt:", 'I love your product very much')
+    if st.button("Generate Text"):
+        output_text = make_api_request(model_id, model_version_id, raw_text)
+        st.write("Generated Text:", output_text)
+
+# GPT-4 Vision
+elif model_option == "GPT-4 Vision":
+    model_id = 'gpt-4-vision-alternative'
+    model_version_id = '12b67ac2b5894fb9af9c06ebf8dc02fb'
+    raw_text = st.text_area("Enter text prompt for vision:", 'A penguin watching the sunset.')
+    if st.button("Generate Image (GPT-4 Vision)"):
+        output_image = make_api_request(model_id, model_version_id, raw_text)
+        st.image(output_image, caption='Generated Image', use_column_width=True)
+
+# DALL-E API
+elif model_option == "DALL-E API":
+    PAT_dalle = 'bfdeb4029ef54d23a2e608b0aa4c00e4'
+    USER_ID_dalle = 'openai'
+    APP_ID_dalle = 'dall-e'
+    MODEL_ID_dalle = 'dall-e-3'
+    MODEL_VERSION_ID_dalle = 'dc9dcb6ee67543cebc0b9a025861b868'
+    raw_text_dalle = st.text_area("Enter text prompt for DALL-E:", 'A penguin watching the sunset.')
+    if st.button("Generate Image (DALL-E API)"):
+        output_image_dalle = make_api_request(MODEL_ID_dalle, MODEL_VERSION_ID_dalle, raw_text_dalle)
+        st.image(output_image_dalle, caption='Generated Image (DALL-E API)', use_column_width=True)
+
+# Text-to-Speech (TTS)
+elif model_option == "Text-to-Speech (TTS)":
+    PAT_tts = 'bfdeb4029ef54d23a2e608b0aa4c00e4'
+    USER_ID_tts = 'openai'
+    APP_ID_tts = 'tts'
+    MODEL_ID_tts = 'openai-tts-1'
+    MODEL_VERSION_ID_tts = 'fff6ce1fd487457da95b79241ac6f02d'
+    raw_text_tts = st.text_area("Enter text for Text-to-Speech:", 'I love your product very much')
+    if st.button("Generate Speech"):
+        output_audio = make_api_request(MODEL_ID_tts, MODEL_VERSION_ID_tts, raw_text_tts)
+        st.audio(output_audio, format="audio/wav")

requirements.txt

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+streamlit
+pytesseract
+tesseract
+requests
+numpy
+opencv-python
+tesseract
+