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.gitignore

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+.env
+.venv
+__pycache__
+*.mp3

README.md

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----
-title: Eleven
-emoji: 📉
-colorFrom: indigo
-colorTo: blue
-sdk: streamlit
-sdk_version: 1.21.0
-app_file: app.py
-pinned: false
-license: mit
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Check out step-by-step tutorial on [lablab.ai tutorials](https://lablab.ai/tutorials/).

_langchain.py

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+import openai
+from langchain.prompts import (
+    ChatPromptTemplate, 
+    MessagesPlaceholder, 
+    SystemMessagePromptTemplate, 
+    HumanMessagePromptTemplate
+)
+from langchain.chains import ConversationChain
+from langchain.chat_models import ChatOpenAI
+from langchain.memory import ConversationBufferMemory
+import os
+
+
+os.environ['OPENAI_API_KEY'] = 'api-key'
+
+
+prompt = ChatPromptTemplate.from_messages([
+    SystemMessagePromptTemplate.from_template("The following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know."),
+    MessagesPlaceholder(variable_name="history"),
+    HumanMessagePromptTemplate.from_template("{input}")
+])
+
+
+llm = ChatOpenAI(temperature=0, openai_api_key=os.environ.get("OPENAI_API_KEY"))
+memory = ConversationBufferMemory(return_messages=True)
+conversation = ConversationChain(memory=memory, prompt=prompt, llm=llm)
+
+
+def get_response(prompt, podcaster, guest,):
+    _prompt = f"""
+
+    Generate a podcast with {podcaster} and {guest}. They are discussing about {prompt}.
+    
+    """
+
+    response = conversation.predict(input=_prompt)
+    
+    return response

app.py

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+# Import from standard library
+import os
+import logging
+
+# Import from 3rd party libraries
+import streamlit as st
+
+# Import modules from the local package
+from eleven_labs import with_custom_voice, with_premade_voice, get_voices
+from _langchain import get_response
+
+
+def generate_podcast_text(prompt, podcaster, guest):
+    return get_response(prompt=prompt, podcaster=podcaster, guest=guest)
+
+
+def generate_podcast(voice, prompt, podcaster, guest):
+
+    if prompt == "":
+        st.session_state.text_error = "Please enter a prompt."
+        return
+
+    with text_spinner_placeholder:
+        with st.spinner("Please wait while we process your query..."):
+            g_podcast = generate_podcast_text(prompt=prompt, podcaster=podcaster, guest=guest)
+
+            st.session_state.podcast_generate = (g_podcast)
+    
+    with text_spinner_placeholder:
+        with st.spinner("Please wait while we process your query..."):
+
+            if st.session_state.input_file_path != "":
+                audio_path = with_custom_voice(podcaster=podcaster, guest=guest, description=prompt, prompt=st.session_state.podcast_generate, file_path=st.session_state.input_file_path)
+
+                if audio_path != "":
+                    st.session_state.output_file_path = audio_path
+
+            else:
+
+                audio_path = with_premade_voice(prompt=st.session_state.podcast_generate, voice=voice)
+
+                if audio_path != "":
+                    st.session_state.output_file_path = audio_path
+
+
+
+
+# Configure logger
+logging.basicConfig(format="\n%(asctime)s\n%(message)s", level=logging.INFO, force=True)
+
+
+# Configure Streamlit page and state
+st.set_page_config(page_title="iPodcast", page_icon="🎧")
+
+
+# Store the initial value of widgets in session state
+if "podcast_generate" not in st.session_state:
+    st.session_state.podcast_generate = ""
+
+if "output_file_path" not in st.session_state:
+    st.session_state.output_file_path = ""
+
+if "input_file_path" not in st.session_state:
+    st.session_state.input_file_path = ""
+
+if "text_error" not in st.session_state:
+    st.session_state.text_error = ""
+
+if "visibility" not in st.session_state:
+    st.session_state.visibility = "visible"
+
+
+
+# Force responsive layout for columns also on mobile
+st.write(
+    """
+    <style>
+    [data-testid="column"] {
+        width: calc(50% - 1rem);
+        flex: 1 1 calc(50% - 1rem);
+        min-width: calc(50% - 1rem);
+    }
+    </style>
+    """,
+    unsafe_allow_html=True,
+)
+
+
+
+# Render Streamlit page
+
+
+# title of the app
+st.title("Eleven Labs + Langchain Tutorial")
+
+
+# brief description of the app
+st.markdown(
+    "This is a demo of the Eleven Labs + Langchain Tutorial."
+)
+
+
+# header
+# st.header("This is a demo of the Eleven Labs + Langchain Tutorial")
+
+
+# file upload if you want to use custom voice
+file = st.file_uploader(label="Upload file", type=["mp3",])
+if file is not None:
+    filename = "sample.mp3"
+    with open(filename, "wb") as f:
+        f.write(file.getbuffer())
+    st.session_state.input_file_path = "sample.mp3"
+
+
+# selectbox
+voice = st.selectbox('Choose your voice', (i for i in get_voices()))
+
+
+col1, col2 = st.columns(2)
+
+with col1:
+    podcaster = st.text_input(label="Podcaster", placeholder="Ex. Lex Fridman")
+
+with col2:
+    guest = st.text_input(label="Guest", placeholder="Ex. Elon Musk")
+
+
+
+# textarea
+prompt = st.text_area(label="Podcast info", placeholder="Ex. Elon Musk joins Lex Fridman in conversation about AI, Autopilot, Neuralink, Tesla, and his personal history.", height=100)
+
+
+# button
+st.button(
+    label="Generate Podcast",
+    help="Click to generate podcast",
+    key="generate_podcast",
+    type="primary",
+    on_click=generate_podcast,
+    args=(voice, prompt, podcaster, guest,),
+)
+
+
+text_spinner_placeholder = st.empty()
+if st.session_state.text_error:
+    st.error(st.session_state.text_error)
+
+
+if st.session_state.podcast_generate:
+    st.markdown("""---""")
+    st.subheader("Read Podcast")
+    st.text_area(label="You may read podcast while audio being generated.", value=st.session_state.podcast_generate,)
+
+
+if st.session_state.output_file_path:
+    st.markdown("""---""")
+    st.subheader("Listen to Podcast")
+
+    with open(st.session_state.output_file_path, "rb") as audio_file:
+        audio_bytes = audio_file.read()
+
+    st.audio(audio_bytes, format='audio/mp3', start_time=0)

eleven_labs.py

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+from elevenlabs import clone, generate, play, set_api_key, VOICES_CACHE, voices
+from elevenlabs.api import History
+import os
+
+os.environ['ELEVENLABS_API_KEY'] = ''
+
+set_api_key(os.environ.get("ELEVENLABS_API_KEY"))
+
+
+def with_custom_voice(podcaster, guest, description, prompt, file_path):
+    name = f'Podcast between {podcaster} and {guest}'
+    temp = name.replace(' ', '_')
+    audio_path = f'{temp}.mp3'
+
+    voice = clone(
+        name=f'Podcast between {podcaster} and {guest}',
+        description=description,
+        files=[file_path,],
+    )
+
+    audio = generate(text=prompt, voice=voice)
+
+    play(audio)
+
+    try:
+        with open(audio_path, 'wb') as f:
+            f.write(audio)
+
+        return audio_path
+    
+    except Exception as e:
+        print(e)
+        
+        return ""
+
+
+def with_premade_voice(prompt, voice):
+    audio_path = f'{voice}.mp3'
+
+    audio = generate(
+        text=prompt,
+        voice=voice,
+        model="eleven_monolingual_v1"
+    )
+
+    play(audio)
+
+    try:
+        with open(audio_path, 'wb') as f:
+            f.write(audio)
+
+        return audio_path
+    
+    except Exception as e:
+        print(e)
+
+        return ""
+
+
+def get_voices():
+    names = []
+
+    v_list = voices()
+
+    for v in v_list:
+        names.append(v.name)
+
+    return names
+
+
+# usage
+# if __name__ == '__main__':
+    # print(get_voices())
+
+    # print(with_premade_voice(prompt='Hi! My name is Bella, nice to meet you!', voice='Bella'))

requirements.txt

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+aiohttp==3.8.4
+aiosignal==1.3.1
+altair==5.0.1
+appnope==0.1.3
+asttokens==2.2.1
+async-timeout==4.0.2
+attrs==23.1.0
+backcall==0.2.0
+blinker==1.6.2
+cachetools==5.3.1
+certifi==2023.5.7
+charset-normalizer==3.1.0
+click==8.1.3
+dataclasses-json==0.5.7
+decorator==5.1.1
+elevenlabs==0.2.17
+executing==1.2.0
+frozenlist==1.3.3
+gitdb==4.0.10
+GitPython==3.1.31
+idna==3.4
+importlib-metadata==6.6.0
+ipython==8.14.0
+jedi==0.18.2
+Jinja2==3.1.2
+jsonschema==4.17.3
+langchain==0.0.189
+markdown-it-py==2.2.0
+MarkupSafe==2.1.3
+marshmallow==3.19.0
+marshmallow-enum==1.5.1
+matplotlib-inline==0.1.6
+mdurl==0.1.2
+multidict==6.0.4
+mypy-extensions==1.0.0
+numexpr==2.8.4
+numpy==1.24.3
+openai==0.27.7
+openapi-schema-pydantic==1.2.4
+packaging==23.1
+pandas==2.0.2
+parso==0.8.3
+pexpect==4.8.0
+pickleshare==0.7.5
+Pillow==9.5.0
+prompt-toolkit==3.0.38
+protobuf==4.23.2
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pyarrow==12.0.0
+pydantic==1.10.8
+pydeck==0.8.1b0
+Pygments==2.15.1
+Pympler==1.0.1
+pyrsistent==0.19.3
+python-dateutil==2.8.2
+pytz==2023.3
+pytz-deprecation-shim==0.1.0.post0
+PyYAML==6.0
+requests==2.31.0
+rich==13.4.1
+six==1.16.0
+smmap==5.0.0
+SQLAlchemy==2.0.15
+stack-data==0.6.2
+streamlit==1.23.1
+tenacity==8.2.2
+toml==0.10.2
+toolz==0.12.0
+tornado==6.3.2
+tqdm==4.65.0
+traitlets==5.9.0
+typing-inspect==0.9.0
+typing_extensions==4.6.3
+tzdata==2023.3
+tzlocal==4.3
+urllib3==2.0.2
+validators==0.20.0
+wcwidth==0.2.6
+yarl==1.9.2
+zipp==3.15.0