Delete app.py

app.py

@@ -1,70 +0,0 @@
-from dotenv import find_dotenv, load_dotenv
-from transformers import pipeline
-from langchain import PromptTemplate, LLMChain, OpenAI
-import requests
-import os
-import streamlit as st
-
-load_dotenv(find_dotenv())
-HUGGINGPHASE_API_TOKEN = os.getenv("HUGGINGPHASE_API_TOKEN")
-
-# Image2Text
-
-def img2text(url):
-    image_to_text = pipeline("image-to-text", model="Salesforce/blip-image-captioning-large")
-    text = img2text(url)[0]["generated_text"]
-    print(text)
-    return text
-
-# LLM
-
-def generate_story(scenario):
-    template = """
-    you are a story teller
-    you can generate a short story based on simple narrative, the story should be more than 20 words;
-    CONTEXT:{scenario},
-    STORY:
-    """
-    prompt = PromptTemplate(template=template, input_variable=["scenario"])
-    story_llm = LLMChain(llm=OpenAI(model_name="gpt-3.5-turbo", temperature=1), prompt=prompt, verbose=True)
-    story = story_llm.predict(scenario=scenario)
-    print(story)
-    return story
-
-# Text to Speech
-
-def text2speech(message):
-    API_URL = "https://api-inference.huggingface.co/models/espnet/kan-bayashi_ljspeech_vits"
-    headers = {"Authorization": f"Bearer {HUGGINGPHASE_API_TOKEN}"}
-    payloads = {
-        "inputs": message
-    }
-    
-    response = requests.post(API_URL, headers=headers, json=payloads)
-
-    with open('audio.flac', 'wb') as file:
-        file.write(response.content)
-
-def main():
-    st.set_page_config(page_title="img 2 Audio story", page_icon='🤖')
-    st.header("Turn img into an audio story")
-    uploaded_file = st.file_uploader("Choose an image...", type="jpg")
-
-    if uploaded_file is not None:
-        print(uploaded_file)
-        with open(uploaded_file.name, "wb") as file:
-            file.write(uploaded_file.getvalue())
-        st.image(uploaded_file, caption="Uploaded Image.", use_column_width=True)
-        scenario = img2text(uploaded_file.name)
-        story = generate_story(scenario)
-        text2speech(story)
-
-        with st.expander("Scenario"):
-            st.write(scenario)
-        with st.expander("Story"):
-            st.write(story)
-        
-        st.audio("audio.flac")
-
-if __name__ == '__main__':
-    main()